Chatbot Development framework

Are you wondering how to develop a chatbot? This list of chatbot development frameworks may help you to get started with chatbot and simplifies your life when it comes the time to build a chatbot.

What is a chatbot?

Before starting to develop a chatbot using a chatbot development framework it is useful to clarify what the word chatbot means. A chatbot is a program that simulates a conversion with a human. Moreover, these chatbots can integrate with the most common messaging platforms such as Skype, Facebook Messenger and so on.

The Machine Learning is widely used to make the chatbots interacting with humans using a natural ways. The Machine Learning helps the chatbots to understand and interpret the human language so that the user can interact with a chatbot easily.

But how to develop a chatbot? The list below shows a list of chatbot development framework that simplifies the development process.

Chatbot Development Frameworks

This the list of the most important chatbot development frameworks. The order is random.

Microsoft Bot Framework

This Chatbot frameworks helps you to develop, publish and manage your chatbot. Using this framework you can build a chatbot that can listen, speack and understand natural language using an AI system. It is an open source SDK tool that simplifies the development process. You can integrate it with several platform such as Skype, Slack and so on. Moreover, it supports different programming languages:

  • C#
  • NodeJS

DialogFlow

DialogFlow is another chatbot development framework based on Google Machine Learning platform. It helps us to develop an interactive convertional interface using AI. The Machine Learning is used to understand what users are saying. This chatbot development framework supports several platforms such as:

  • Google Assistant
  • Alexa
  • Facebook messenger

and much more. It runs on Google Cloud Platform (GCP) so you have all the tools delivered by this platform ready to use.

ChatterBot

Chatterbot bot development framework

ChatterBot is an open source machine learning based bot. This chatbot engine is built using Python and the machine learning engine helps the bot to give the correct response. It is language independent and the use of machine learning helps the bot to improve its knowledge base as the number of questions increase. At the beginning the chatbot doesn’t have any experience but as soon as it gets trained by the user question, the chatbot agent is able to select the right answer. You can find the source code at Github.

BotKit

Botkit chatbots SDK tool

It is an open source bot development framework to develop and build chatbots. BotKit provides tools for integrating the chatbot with the most important messaging platforms. It has an interesting UI design tool that simplifies the process of developing the chatbot. Moreover, it supports several plugin that expand its features. It is developed in NodeJS and you can find the reposity at Github. BotKit uses a machine leraning engine to improve its performances. The engine uses a NLP system based on LUIS.ai.

PandoraBots

Pandorabots a tool to develop chatbots

PandoraBots is another interesting SDK to develop chatbots. It is more than 300,000 bots developed on this platform. Moreover this chatbos developement framework supports an open standard scripting language named AIML (Artificial Intelligence Markup Language). AIML is an XML-based language that simplified the chatbot development process. Even if you aren’t a programmer you can easily develop a chatbot. Even if AIML is an easy programming language, it is very powerful and doesn’t limit the power of the chatbots. Moreover, PandoraBots includes these SDK:

  • Java
  • Node.js
  • Python

Rasa

Rasa chatbot SDK

Rasa is a machine learning chatbot tool. It is an open source chatbot engine. Rasa uses two modules:

  • NLU that extracts information from the user messages in natural languages
  • Holding that manages the conversations

It has an active community behind it. It can manage contextual dialogs and it can extract user intents. They are developing an interesting migration library that we can use to import chatbots from other platforms to Rasa.

BotPress

BotPress is a complete platform to develop and manage chatbots. It promises to speed up the development process simplifying it in all the steps. This chatbot SDK provides these components:

  • NLU Engine
  • An administration dashboard
  • Visual flow editor
  • Debugger
  • Custom analytics

Moreover, BotPress is a multichannel platform supporting Skype, Webchat and much more. It has a SDK and API that simplifies the integration process.

IBM Watson

IBM Watson Assistant is a platform mabe by IBM that uses machine learning. The main features are:

  • Easy to use
  • Powered by NLU
  • integration with existing platform

This chatbot can understand human natrual language and it can respond accordingly. This chatbot engine uses a neural network built on Wikipedia words. It has three main components:

  • Intents
  • Dialogs
  • Entities

Moreover, it has several SDK for different languages:

  • Java SDK
  • NodeJS SDK
  • Python SDK

and much more.

Wit.ai

Wit.ai a tool for developing chatbot using machine learning

Wit.ai is another chatbot development framework. Wit helps developer to build chatbot for different areas: wearable, hardware and so on. It is easy to develop a chatbot using Wit.ai. It supports several SDK:

  • NodeJS
  • Python
  • Go
  • Ruby

Moreover it exposes a set of APIs that can be invoked to interact with the chatbot engine.

Rebot.me

Rebot.me a service to develop chatbots

Rebot.me is a service to create chatbot. This platform simplifies the chatbot development. Using this platform, we can train our chatbot with questions and answers.

Help me to increase the list suggesting other chatbot development framework.

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